The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-03"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "18282208 (up from 18079516 yesterday: 1.12 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "693694 (up from 689360 yesterday: 0.63 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5177817

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.79



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4713540 45585 0.98 1349383 155402 542 0.35 3.30
Brazil 2750318 16641 0.61 865351 94665 561 0.60 3.44
India 1855745 52050 2.89 948993 38938 803 2.11 2.10
Russia 854641 5364 0.63 122094 14183 79 0.56 1.66
South Africa 516862 5377 1.05 229066 8539 173 2.07 1.65
Mexico 443813 4767 1.09 139378 48012 266 0.56 10.82
Peru 433100 4250 0.99 102977 19811 197 1.00 4.57
Chile 361493 1762 0.49 43836 9707 99 1.03 2.69
Colombia 327850 10199 3.21 177405 11017 367 3.45 3.36
Iran 312035 2598 0.84 52383 17405 215 1.25 5.58
United Kingdom 307251 932 0.30 15560 46295 9 0.02 15.07
Spain 297054 8532 2.96 41101 28472 27 0.09 9.58
Pakistan 280461 762 0.27 26857 5999 23 0.38 2.14
Saudi Arabia 280093 1258 0.45 44982 2949 32 1.10 1.05
Italy 248229 159 0.06 4999 35166 12 0.03 14.17
Bangladesh 242102 1356 0.56 55208 3184 30 0.95 1.32
Turkey 233851 995 0.43 19850 5747 19 0.33 2.46
France 225198 0 0.00 15558 30268 0 0.00 13.44
Germany 212111 891 0.42 11931 9154 0 0.00 4.32
Argentina 206743 4824 2.39 103478 3813 165 4.52 1.84
Iraq 131886 2735 2.12 52151 4934 66 1.36 3.74
Canada 118973 205 0.17 8989 8995 5 0.06 7.56
Indonesia 113134 1679 1.51 36153 5302 66 1.26 4.69
Qatar 111322 215 0.19 7306 177 0 0.00 0.16
Philippines 106330 3145 3.05 49324 2104 45 2.19 1.98
Egypt 94640 157 0.17 11639 4888 23 0.47 5.16
Kazakhstan 93820 1158 1.25 32065 793 0 0.00 0.85
China 88099 114 0.13 2982 4672 3 0.06 5.30
Ecuador 87041 809 0.94 18582 5767 31 0.54 6.63
Bolivia 81846 1693 2.11 32596 3228 75 2.38 3.94
Sweden 81012 590 0.73 5186 5744 1 0.02 7.09
Oman 79159 0 0.00 20980 421 0 0.00 0.53
Ukraine 74781 1020 1.38 19496 1762 13 0.74 2.36
Israel 74430 1615 2.22 33798 546 10 1.87 0.73
Dominican Republic 73117 874 1.21 27611 1183 5 0.42 1.62
Belgium 70314 465 0.67 7607 9850 5 0.05 14.01
Panama 68456 1003 1.49 21283 1497 26 1.77 2.19
Kuwait 68299 388 0.57 12791 461 4 0.88 0.67
Belarus 68166 99 0.15 3052 571 4 0.71 0.84
United Arab Emirates 61163 164 0.27 5965 351 0 0.00 0.57
Netherlands 55786 378 0.68 4478 6169 0 0.00 11.06
Romania 54009 823 1.55 21061 2432 19 0.79 4.50
Singapore 53051 226 0.43 6768 27 0 0.00 0.05
Portugal 51569 106 0.21 4751 1738 0 0.00 3.37
Guatemala 51542 236 0.46 21800 2013 18 0.90 3.91
Poland 47469 575 1.23 9279 1732 1 0.06 3.65
Nigeria 44129 288 0.66 10976 896 8 0.90 2.03
Honduras 43794 597 1.38 15215 1384 7 0.51 3.16
Bahrain 41835 299 0.72 8359 150 3 2.04 0.36
Japan 40099 983 2.51 17974 1018 5 0.49 2.54
Armenia 39102 52 0.13 6951 762 8 1.06 1.95
Ghana 37812 798 2.16 12824 191 9 4.95 0.51
Kyrgyzstan 37129 410 1.12 25685 1420 11 0.78 3.82
Afghanistan 36747 37 0.10 2292 1288 4 0.31 3.51
Switzerland 35616 66 0.19 2670 1981 0 0.00 5.56
Azerbaijan 32684 241 0.74 8114 468 6 1.30 1.43
Algeria 31972 507 1.61 12283 1239 8 0.65 3.88
Serbia 26451 258 0.98 7812 598 8 1.36 2.26
Ireland 26208 46 0.18 570 1763 0 0.00 6.73
Morocco 26196 659 2.58 10260 401 19 4.97 1.53
Uzbekistan 26066 730 2.88 12475 157 6 3.97 0.60
Moldova 25482 120 0.47 6043 800 9 1.14 3.14
Kenya 22597 544 2.47 12303 382 13 3.52 1.69
Austria 21385 81 0.38 2437 718 0 0.00 3.36
Venezuela 20754 548 2.71 11047 180 6 3.45 0.87
Nepal 20750 418 2.06 3805 57 0 0.00 0.27
Costa Rica 19402 427 2.25 11366 171 9 5.56 0.88
Ethiopia 19289 583 3.12 11523 336 26 8.39 1.74
Australia 18730 412 2.25 8479 232 11 4.98 1.24
El Salvador 17843 395 2.26 7865 477 10 2.14 2.67
Cameroon 17255 0 0.00 2082 391 0 0.00 2.27
Czechia 17008 208 1.24 3770 386 2 0.52 2.27
Cote d’Ivoire 16220 38 0.23 3348 102 0 0.00 0.63
Korea, South 14423 34 0.24 911 301 0 0.00 2.09
Denmark 14235 207 1.48 997 616 1 0.16 4.33
West Bank and Gaza 12541 244 1.98 5975 84 0 0.00 0.67
Bosnia and Herzegovina 12462 166 1.35 5481 362 10 2.84 2.90
Bulgaria 12159 204 1.71 4748 404 16 4.12 3.32
Sudan 11738 0 0.00 1422 752 0 0.00 6.41
Madagascar 11660 132 1.15 6580 118 4 3.51 1.01
North Macedonia 11128 74 0.67 2931 500 3 0.60 4.49
Senegal 10386 42 0.41 2188 211 2 0.96 2.03

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 516851 4676 0.91 183494 9441 45 0.48 1.83 13080.79 238.94 1 in 76
Florida 491884 4752 0.98 209449 7157 73 1.03 1.46 22902.04 333.23 1 in 44
Texas 456624 8479 1.89 186846 7016 138 2.01 1.54 15747.89 241.97 1 in 64
New York 416843 545 0.13 14580 32719 9 0.03 7.85 21427.59 1681.90 1 in 47
Georgia 195435 2258 1.17 74863 3842 2 0.05 1.97 18407.01 361.86 1 in 54
Illinois 184522 1298 0.71 28591 7723 9 0.12 4.19 14561.60 609.46 1 in 69
New Jersey 182614 264 0.14 7092 15846 10 0.06 8.68 20559.57 1784.02 1 in 49
Arizona 179497 1030 0.58 55673 3779 14 0.37 2.11 23571.83 496.26 1 in 42
North Carolina 127630 2300 1.84 39961 2043 60 3.03 1.60 12169.05 194.79 1 in 82
Louisiana 120846 1099 0.92 41019 4024 17 0.42 3.33 25995.13 865.60 1 in 38
Pennsylvania 118894 861 0.73 18564 7224 1 0.01 6.08 9287.15 564.29 1 in 108
Massachusetts 118657 199 0.17 6830 8648 10 0.12 7.29 17074.17 1244.41 1 in 59
Tennessee 110636 1009 0.92 45362 1092 19 1.77 0.99 16191.01 159.81 1 in 62
Ohio 93963 932 1.00 27110 3539 10 0.28 3.77 8038.51 302.76 1 in 124
Virginia 93106 1324 1.44 21464 2218 0 0.00 2.38 10908.07 259.86 1 in 92
South Carolina 92951 1163 1.27 34783 1793 16 0.90 1.93 18053.25 348.24 1 in 55
Alabama 92661 1217 1.33 37116 1633 6 0.37 1.76 18898.12 333.05 1 in 53
Michigan 92374 616 0.67 15176 6467 10 0.15 7.00 9249.56 647.55 1 in 108
Maryland 91144 870 0.96 17617 3523 8 0.23 3.87 15075.89 582.73 1 in 66
Indiana 68433 576 0.85 16396 2980 5 0.17 4.35 10165.00 442.65 1 in 98
Mississippi 61125 572 0.94 24445 1711 8 0.47 2.80 20538.29 574.90 1 in 49
Washington 58715 542 0.93 16958 1600 4 0.25 2.73 7710.55 210.11 1 in 130
Minnesota 56560 613 1.10 13788 1656 2 0.12 2.93 10029.02 293.64 1 in 100
Wisconsin 55328 404 0.74 18386 949 1 0.11 1.72 9502.56 162.99 1 in 105
Missouri 53214 1030 1.97 24925 1279 3 0.24 2.40 8670.41 208.39 1 in 115
Nevada 51199 994 1.98 22684 847 15 1.80 1.65 16622.21 274.99 1 in 60
Connecticut 50062 252 0.51 2552 4437 5 0.11 8.86 14041.51 1244.50 1 in 71
Colorado 47950 241 0.51 10732 1844 0 0.00 3.85 8326.48 320.21 1 in 120
Iowa 45905 182 0.40 10274 884 6 0.68 1.93 14549.60 280.18 1 in 69
Arkansas 44597 787 1.80 15658 475 11 2.37 1.07 14777.86 157.40 1 in 68
Utah 41529 354 0.86 11499 314 3 0.96 0.76 12953.69 97.94 1 in 77
Oklahoma 38602 377 0.99 17856 551 1 0.18 1.43 9755.44 139.25 1 in 103
Kentucky 31508 323 1.04 11855 744 2 0.27 2.36 7052.44 166.53 1 in 142
Kansas 28432 561 2.01 8787 367 6 1.66 1.29 9759.33 125.97 1 in 102
Nebraska 26956 254 0.95 5557 328 -4 -1.20 1.22 13935.01 169.56 1 in 72
Idaho 21670 560 2.65 10266 200 3 1.52 0.92 12092.20 111.60 1 in 83
New Mexico 21130 114 0.54 5839 655 1 0.15 3.10 10077.12 312.38 1 in 99
Oregon 19366 269 1.41 6928 328 2 0.61 1.69 4591.56 77.77 1 in 218
Rhode Island 19246 224 1.18 1759 1010 3 0.30 5.25 18167.56 953.40 1 in 55
Puerto Rico 18791 380 2.06 8781 230 0 0.00 1.22 5883.78 72.02 1 in 170
Delaware 15055 106 0.71 2176 585 0 0.00 3.89 15460.62 600.76 1 in 65
District of Columbia 12313 256 2.12 1407 586 2 0.34 4.76 17446.71 830.32 1 in 57
South Dakota 9020 65 0.73 1496 135 0 0.00 1.50 10196.02 152.60 1 in 98
West Virginia 6978 120 1.75 2665 117 0 0.00 1.68 3904.55 65.47 1 in 256
North Dakota 6785 125 1.88 2343 105 0 0.00 1.55 8903.48 137.78 1 in 112
New Hampshire 6660 26 0.39 592 417 0 0.00 6.26 4898.10 306.68 1 in 204
Montana 4233 40 0.95 2390 64 3 4.92 1.51 3960.60 59.88 1 in 252
Maine 3970 12 0.30 412 124 1 0.81 3.12 2953.40 92.25 1 in 339
Alaska 3341 61 1.86 1802 25 1 4.17 0.75 4567.05 34.17 1 in 219
Wyoming 2848 40 1.42 945 27 1 3.85 0.95 4920.87 46.65 1 in 203
Hawaii 2448 206 9.19 1205 26 0 0.00 1.06 1728.97 18.36 1 in 578
Vermont 1427 1 0.07 126 57 0 0.00 3.99 2286.90 91.35 1 in 437

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 8184696 516851 6.31 2640331 183494 6.95 207143.39
2 Florida 3752798 491884 13.11 1113224 209449 18.81 174729.67
3 Texas 3834586 456624 11.91 1294461 186846 14.43 132245.89
4 New York 6082774 416843 6.85 1357892 14580 1.07 312681.78
5 Georgia 1646401 195435 11.87 538434 74863 13.90 155065.97
6 Illinois 2808078 184522 6.57 793952 28591 3.60 221600.19
7 New Jersey 2164580 182614 8.44 464195 7092 1.53 243698.91
8 Arizona 964418 179497 18.61 261992 55673 21.25 126648.92
9 North Carolina 1837410 127630 6.95 616924 39961 6.48 175190.24
10 Louisiana 1393910 120846 8.67 440484 41019 9.31 299843.36
11 Pennsylvania 1256569 118894 9.46 325095 18564 5.71 98154.20
12 Massachusetts 1226852 118657 9.67 260709 6830 2.62 176538.09
13 Tennessee 1574533 110636 7.03 520572 45362 8.71 230424.84
14 Ohio 1535543 93963 6.12 510792 27110 5.31 131365.37
15 Virginia 1155108 93106 8.06 341093 21464 6.29 135329.56
16 South Carolina 731675 92951 12.70 224574 34783 15.49 142108.30
17 Alabama 714051 92661 12.98 194447 37116 19.09 145630.03
18 Michigan 1926823 92374 4.79 613396 15176 2.47 192935.88
19 Maryland 960637 91144 9.49 308680 17617 5.71 158896.44
20 Indiana 775482 68433 8.82 205073 16396 8.00 115189.66
21 Mississippi 462717 61125 13.21 119302 24445 20.49 155475.08
22 Washington 1008280 58715 5.82 322275 16958 5.26 132408.95
23 Minnesota 872004 56560 6.49 103015 13788 13.38 154620.73
24 Wisconsin 970836 55328 5.70 270975 18386 6.79 166740.58
25 Missouri 712948 53214 7.46 217171 24925 11.48 116163.97
26 Nevada 484866 51199 10.56 131673 22684 17.23 157416.05
27 Connecticut 829182 50062 6.04 239864 2552 1.06 232570.90
28 Colorado 547212 47950 8.76 147847 10732 7.26 95022.94
29 Iowa 486475 45905 9.44 109759 10274 9.36 154188.34
30 Arkansas 527400 44597 8.46 144426 15658 10.84 174761.62
31 Utah 540182 41529 7.69 121847 11499 9.44 168493.16
32 Oklahoma 638063 38602 6.05 217281 17856 8.22 161250.36
33 Kentucky 600293 31508 5.25 158408 11855 7.48 134363.68
34 Kansas 301839 28432 9.42 70664 8787 12.43 103606.75
35 Nebraska 281106 26956 9.59 69447 5557 8.00 145318.88
36 Idaho 185337 21670 11.69 58205 10266 17.64 103420.91
37 New Mexico 574253 21130 3.68 155896 5839 3.75 273867.35
38 Oregon 417131 19366 4.64 116419 6928 5.95 98899.24
39 Rhode Island 210066 19246 9.16 36823 1759 4.78 198295.01
41 Delaware 187659 15055 8.02 48296 2176 4.51 192715.07
42 District of Columbia 198815 12313 6.19 68595 1407 2.05 281707.80
43 South Dakota 114648 9020 7.87 23270 1496 6.43 129595.70
44 West Virginia 295046 6978 2.37 86821 2665 3.07 165093.30
45 North Dakota 158751 6785 4.27 34873 2343 6.72 208317.70
46 New Hampshire 162622 6660 4.10 27756 592 2.13 119600.42
47 Montana 179508 4233 2.36 60813 2390 3.93 167956.30
48 Maine 174145 3970 2.28 50183 412 0.82 129551.74
49 Alaska 245807 3341 1.36 99217 1802 1.82 336010.77
50 Wyoming 54880 2848 5.19 14941 945 6.32 94823.58
51 Hawaii 127279 2448 1.92 32109 1205 3.75 89894.43
52 Vermont 97238 1427 1.47 20657 126 0.61 155832.88

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 457956 7760 1.72 299356 65.37 142151 16142 300 1.89 3.52
Tamil Nadu 268285 5063 1.92 208784 77.82 55152 4349 108 2.55 1.62
Andhra Pradesh 176333 9747 5.85 95625 54.23 79104 1604 67 4.36 0.91
Karnataka 145830 6259 4.48 69272 47.50 73845 2704 110 4.24 1.85
Delhi 139156 674 0.49 125226 89.99 9897 4033 12 0.30 2.90
Uttar Pradesh 100310 2948 3.03 57271 57.09 41222 1817 39 2.19 1.81
West Bengal 80984 2752 3.52 56884 70.24 22315 1785 54 3.12 2.20
Telangana 68946 1286 1.90 49675 72.05 18708 563 12 2.18 0.82
Gujarat 65704 1020 1.58 48561 73.91 14614 2529 25 1.00 3.85
Bihar 62031 2464 4.14 40760 65.71 20921 349 13 3.87 0.56
Assam 48162 2886 6.37 34422 71.47 13622 115 6 5.50 0.24
Rajasthan 46679 1124 2.47 32832 70.34 13115 732 13 1.81 1.57
Haryana 37796 623 1.68 31226 82.62 6122 448 8 1.82 1.19
Odisha 37681 1384 3.81 24483 64.97 12940 258 10 4.03 0.68
Madhya Pradesh 35082 797 2.32 25414 72.44 8756 912 12 1.33 2.60
Kerala 27956 1083 4.03 16299 58.30 11540 88 3 3.53 0.31
Jammu and Kashmir 22396 390 1.77 14856 66.33 7123 417 10 2.46 1.86
Punjab 19015 488 2.63 12491 65.69 6062 462 20 4.52 2.43
Jharkhand 14070 570 4.22 5199 36.95 8742 129 4 3.20 0.92
Chhattisgarh 10202 382 3.89 7613 74.62 2520 69 8 13.11 0.68
Uttarakhand 8008 208 2.67 4847 60.53 3028 95 5 5.56 1.19
Goa 7075 259 3.80 5114 72.28 1901 60 3 5.26 0.85
Tripura 5520 131 2.43 3675 66.58 1799 28 1 3.70 0.51
Puducherry 4147 165 4.14 2537 61.18 1552 58 2 3.57 1.40
Manipur 3018 98 3.36 1814 60.11 1197 7 0 0.00 0.23
Himachal Pradesh 2879 61 2.16 1710 59.40 1128 13 0 0.00 0.45
Nagaland 2405 276 12.96 659 27.40 1738 4 0 0.00 0.17
Arunachal Pradesh 1790 32 1.82 1105 61.73 682 3 0 0.00 0.17
Ladakh 1534 49 3.30 1127 73.47 400 7 0 0.00 0.46
Dadra and Nagar Haveli and Daman and Diu 1327 43 3.35 920 69.33 395 2 0 0.00 0.15
Chandigarh 1206 46 3.97 715 59.29 470 20 1 5.26 1.66
Andaman and Nicobar Islands 928 98 11.81 277 29.85 639 12 2 20.00 1.29
Meghalaya 917 15 1.66 330 35.99 582 5 0 0.00 0.55
Sikkim 783 95 13.81 299 38.19 483 1 0 0.00 0.13
Mizoram 502 19 3.93 282 56.18 219 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1320427 96337 25 0.03 7.30 162 9 5795 16818 17.46
Piemonte 504973 31711 13 0.04 6.28 95 5 813 4131 13.03
Emilia-Romagna 678601 29808 34 0.11 4.39 68 3 1560 4291 14.40
Veneto 1253243 20233 22 0.11 1.61 25 4 1051 2076 10.26
Toscana 432068 10508 10 0.10 2.43 16 1 398 1136 10.81
Liguria 192669 10238 2 0.02 5.31 21 0 195 1568 15.32
Lazio 424283 8697 15 0.17 2.05 174 9 974 864 9.93
Marche 169125 6897 0 0.00 4.08 13 0 140 987 14.31
Campania 338018 5020 4 0.08 1.49 47 2 397 436 8.69
P.A. Trento 155785 4981 2 0.04 3.20 3 0 100 405 8.13
Puglia 244174 4648 9 0.19 1.90 23 0 125 553 11.90
Friuli Venezia Giulia 256348 3411 0 0.00 1.33 9 3 136 346 10.14
Abruzzo 130877 3398 9 0.27 2.60 16 1 124 472 13.89
Sicilia 281658 3308 3 0.09 1.17 36 3 288 283 8.56
P.A. Bolzano 107735 2734 6 0.22 2.54 7 0 112 292 10.68
Umbria 122665 1475 1 0.07 1.20 7 0 27 80 5.42
Sardegna 107836 1416 2 0.14 1.31 3 0 44 134 9.46
Calabria 122601 1270 0 0.00 1.04 5 1 98 97 7.64
Valle d’Aosta 21788 1209 0 0.00 5.55 1 0 13 146 12.08
Molise 28221 477 2 0.42 1.69 1 0 33 23 4.82
Basilicata 47706 453 0 0.00 0.95 2 0 51 28 6.18

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 59722 123 0.21 5683 2 0.04 9.52 6995.11 665.64 1 in 143
Ontario 41391 58 0.14 2825 3 0.11 6.83 2813.45 192.02 1 in 355
Alberta 10843 0 0.00 196 0 0.00 1.81 2456.98 44.41 1 in 407
British Columbia 3641 0 0.00 195 0 0.00 5.36 712.40 38.15 1 in 1404
Saskatchewan 1359 17 1.27 18 0 0.00 1.32 1150.07 15.23 1 in 870
Nova Scotia 1071 0 0.00 64 0 0.00 5.98 1095.70 65.48 1 in 913
Manitoba 442 7 1.61 8 0 0.00 1.81 320.87 5.81 1 in 3117
Newfoundland and Labrador 266 0 0.00 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68138 4512 6.62
Hong Kong 3589 38 1.06
Guangdong 1687 8 0.47
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 933 9 0.96
Jiangxi 932 1 0.11
Shandong 804 7 0.87
Shanghai 750 7 0.93
Xinjiang 724 3 0.41
Jiangsu 658 0 0.00
Sichuan 609 3 0.49
Chongqing 583 6 1.03
Fujian 367 1 0.27
Hebei 349 6 1.72
Shaanxi 326 3 0.92
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Liaoning 255 2 0.78
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 14405.68 474.94 1 in 69
Brazil 13140.55 452.29 1 in 76
India 1385.92 29.08 1 in 722
Russia 5914.47 98.15 1 in 169
South Africa 9112.52 150.55 1 in 110
Mexico 3435.09 371.61 1 in 291
Peru 13462.85 615.82 1 in 74
Chile 20027.31 537.78 1 in 50
Colombia 6681.27 224.52 1 in 150
Iran 3844.69 214.45 1 in 260
United Kingdom 4624.49 696.79 1 in 216
Spain 6366.35 610.20 1 in 157
Pakistan 1423.66 30.45 1 in 702
Saudi Arabia 8503.13 89.53 1 in 118
Italy 4104.32 581.45 1 in 244
Bangladesh NA NA 1 in NA
Turkey 2893.84 71.12 1 in 346
France 3361.67 451.83 1 in 297
Germany 2562.04 110.57 1 in 390
Argentina 4670.05 86.13 1 in 214

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 225964 23550 10.42
Los Angeles California 193877 4702 2.43
Miami-Dade Florida 123644 1694 1.37
Maricopa Arizona 120960 2108 1.74
Cook Illinois 107247 4897 4.57
Harris Texas 78100 767 0.98
Broward Florida 58531 748 1.28
Dallas Texas 51490 691 1.34
Clark Nevada 44066 702 1.59
Suffolk New York 43395 1997 4.60
Nassau New York 43380 2194 5.06
Bexar Texas 41138 622 1.51
Orange California 37813 651 1.72
Riverside California 37011 695 1.88
Westchester New York 36014 1446 4.02
Palm Beach Florida 34550 845 2.45
San Bernardino California 33432 418 1.25
Philadelphia Pennsylvania 30665 1692 5.52
Hillsborough Florida 30450 348 1.14
Orange Florida 29927 239 0.80
San Diego California 29883 565 1.89
Tarrant Texas 29054 391 1.35
Wayne Michigan 27377 2805 10.25
Middlesex Massachusetts 25932 1988 7.67
Prince George’s Maryland 22880 743 3.25
Duval Florida 21830 160 0.73
Shelby Tennessee 21492 288 1.34
Suffolk Massachusetts 21378 1059 4.95
Travis Texas 21214 236 1.11
Mecklenburg North Carolina 21054 222 1.05
Kern California 20651 144 0.70
Bergen New Jersey 20552 2041 9.93
Milwaukee Wisconsin 19855 446 2.25
Essex New Jersey 19558 2104 10.76
Salt Lake Utah 19556 178 0.91
Hudson New Jersey 19528 1503 7.70
Davidson Tennessee 19400 202 1.04
Fulton Georgia 18224 398 2.18
Hennepin Minnesota 18009 819 4.55
Gwinnett Georgia 17927 240 1.34
Fairfield Connecticut 17870 1408 7.88
Montgomery Maryland 17842 793 4.44
Middlesex New Jersey 17735 1403 7.91
Passaic New Jersey 17507 1242 7.09
Essex Massachusetts 17422 1185 6.80
Hidalgo Texas 17353 656 3.78
Franklin Ohio 17254 514 2.98
Pinellas Florida 16886 442 2.62
Pima Arizona 16741 462 2.76
Union New Jersey 16590 1348 8.13
Out of GA Georgia 15925 82 0.51
Fairfax Virginia 15907 523 3.29
Lee Florida 15799 300 1.90
King Washington 15603 658 4.22
Fresno California 15083 138 0.91
El Paso Texas 14914 251 1.68
Marion Indiana 14863 719 4.84
Oakland Michigan 14861 1126 7.58
Providence Rhode Island 14549 0 0.00
Jefferson Louisiana 14533 518 3.56
Rockland New York 13885 674 4.85
Cameron Texas 13516 368 2.72
St. Louis Missouri 13474 650 4.82
Worcester Massachusetts 13442 993 7.39
Polk Florida 13137 271 2.06
New Haven Connecticut 13086 1104 8.44
Cuyahoga Ohio 12753 477 3.74
Hartford Connecticut 12701 1412 11.12
DeKalb Georgia 12604 225 1.79
Nueces Texas 12575 195 1.55
Baltimore Maryland 12401 551 4.44
District of Columbia District of Columbia 12313 586 4.76
Lake Illinois 12089 440 3.64
San Joaquin California 11885 180 1.51
Jefferson Alabama 11859 225 1.90
Cobb Georgia 11844 298 2.52
Baltimore City Maryland 11748 413 3.52
Charleston South Carolina 11714 171 1.46
DuPage Illinois 11558 510 4.41
Alameda California 11524 189 1.64
Wake North Carolina 11305 133 1.18
East Baton Rouge Louisiana 11263 328 2.91
Yuma Arizona 11203 263 2.35
Orange New York 11096 489 4.41
Santa Clara California 10794 191 1.77
Douglas Nebraska 10611 131 1.23
Ocean New Jersey 10469 1016 9.70
Orleans Louisiana 10426 560 5.37
Norfolk Massachusetts 10361 988 9.54
Greenville South Carolina 10306 189 1.83
Monmouth New Jersey 10137 858 8.46
Sacramento California 10122 145 1.43
Yakima Washington 10047 205 2.04
Montgomery Pennsylvania 9870 850 8.61
Denver Colorado 9813 412 4.20
Collier Florida 9811 124 1.26
Tulare California 9745 189 1.94
Polk Iowa 9723 203 2.09
Macomb Michigan 9722 936 9.63
Imperial California 9448 222 2.35

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc